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Computer virus scanner is a vital approach to deal with computer virus. However, current static scanning techniques for virus detection have serious limitations. Motivated by a recent success in Computer Immune Theory and N-gram text classification method, an immune inspired obfuscated virus detection model is presented, which is referred as IOVDM. In IOVDM, N-gram analysis is applied to automatically...
Most of the current virus detection approaches, such as antivirus software, require precognition of virus signatures for detection, but they are difficult to detect firstly unknown virus. A novel virus detection method inspired by immune theory with GA-RVNS (Genetic Algorithm based real-valued negative selection) is proposed. Feature vectors of program codes are mapped into high dimension real-valued...
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